Novel Approach for Lithology Prediction from Well-Logging Data Using Machine Learning And Deep Learning Techniques
Notes:
- The code is written based on python 3.
- It is better than the mentioned packages for proper execution Use it in the requirements file (use venv and pip install -r requirements.txt).
- XGBoost.ipynb only contains the XGBoost model.
- Main.ipynb contains all models.
- The Lithofacies_Classification folder contains the models and Functions used.
